C

Cisco

Makes networking gear and security software

Data Architect - Multiple Teams

Data ManagementUpdated on Nov 9
Full-timeNo salary listedIn-person

About the Job

Requirements

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • 13+ years of professional experience in data architecture, data engineering, or large-scale data platform design.
  • Deep expertise designing enterprise data architectures, including data lakes, lakehouses, and data warehouses, at scale.
  • Strong proficiency with cloud platforms such as AWS, GCP, or Snowflake and modern cloud-native data architectures.
  • Expert-level data modeling skills across conceptual, logical, and physical models and relational, dimensional, and NoSQL paradigms.
  • Experience defining data integration, ingestion, and API/microservices patterns for enterprise-scale systems.
  • Knowledge of data pipeline orchestration tools such as Airflow, DBT, and Informatica, and cloud-native storage such as Snowflake and BigQuery.
  • Hands-on understanding of CI/CD, containerization with Docker and Kubernetes, and infrastructure as code with Terraform and CloudFormation.
  • Programming or scripting skills in Python, SQL, Java, or similar for architecture validation and prototyping.
  • Success leading large, complex architecture initiatives and influencing across teams in Agile/Scrum environments.

Responsibilities

  • Define and own the enterprise data architecture vision, standards, and multi-year roadmap across ingestion, storage, transformation, discovery, and governance.
  • Design scalable, secure, and highly available data architectures, including data lakes, lakehouses, data warehouses, and real-time streaming systems, using modern cloud-native technologies.
  • Define and lead target-state architecture and migration strategies to modernize legacy data infrastructure onto cloud-native platforms such as GCP and Snowflake, improving scalability and reducing operational cost.
  • Establish architectural standards, reference patterns, and best practices for data modeling, integration, metadata management, and platform security across teams.
  • Establish enterprise data modeling standards and governance and lineage frameworks that improve data quality, discoverability, and compliance across business domains.
  • Design API- and event-driven integration architectures that enable real-time enterprise data access and improve data delivery speed and reliability.
  • Partner with data engineers, analytics teams, platform engineers, and business leaders to translate strategic priorities into robust, well-governed data solutions.
  • Lead platform modernization architecture decisions and evaluate and select technologies such as Snowflake, BigQuery, Airflow, DBT, Informatica, and Kubernetes to optimize efficiency, cost, and scale.
  • Define data governance, lineage, quality, and compliance frameworks and embed them across platform design and operations.
  • Provide architectural oversight and design reviews to ensure solutions meet reliability, scalability, performance, and security requirements.
  • Champion conceptual, logical, and physical data modeling practices that support operational and analytical workloads.
  • Mentor engineers and architects to foster technical excellence, sound design thinking, and knowledge sharing.
  • Advise leadership and influence architecture decisions, technology investments, and strategic direction across the data organization.

Desired Qualifications

  • Experience designing real-time and streaming data architectures using Kafka and Pub/Sub, and large-scale ETL/ELT processes.
  • Knowledge of data governance, security, lineage, and compliance frameworks.
  • Experience architecting platforms for AI/ML and advanced analytics workloads.
  • Ability to optimize cost, performance, and scalability in cloud-based data environments at scale.
  • Relevant architecture certifications, such as cloud architect or data architecture certifications.
  • Communication, influencing, stakeholder management, and mentorship abilities at the organizational level.

About the Company

Cisco

Makes networking gear and security software

Cisco makes the switches and routers that connect offices, data centers, and cloud services, and it also sells cybersecurity tools and Webex video meetings to businesses and governments. It was one of the first companies to sell routers that let different kinds of computer networks exchange data, and in 2000 it briefly became the world's most valuable company. Customers run its network gear, from Wi-Fi access points to AI data center systems, with Cisco software that sets up and secures the network, while its Splunk unit searches computer logs to catch outages and attacks. Cisco earns money from hardware sales, software subscriptions, and support contracts. It was founded in 1984 and is based in San Jose, California.

Company size
10,001+
Company stage
IPO
Headquarters
San Jose, CA
Founded
1984

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